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my13each

Draw Things MCP Server

by my13each

generate_image

Turn text prompts into image files on your Mac using Draw Things, with configurable steps, size, and seed for reproducible results. The generated image is saved to disk and its file path is returned.

Instructions

Generate an image from a text prompt using the Draw Things app. The image will be saved to disk and the file path returned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNoRandom seed for reproducibility (-1 for random)
modelNoModel filename to use for generation (use list_models to see available models)
stepsNoNumber of inference steps (default: 20)
widthNoWidth of the generated image in pixels (default: 512)
heightNoHeight of the generated image in pixels (default: 512)
promptYesText description of the image to generate
cfg_scaleNoClassifier-free guidance scale (default: 7.5)
output_pathNoCustom file path to save the generated image
negative_promptNoElements to exclude from the generated image

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.2

TDQS

A4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the behavioral disclosure burden. It does state the main side effect and return behavior: an image is generated, saved to disk, and its path is returned. It does not discuss overwrite behavior, blocking behavior, or app availability, but the most important behavior is disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences front-load the primary action and immediately state the side effect and return value. There is no redundant or filler content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the rich, fully documented input schema and no output schema, the description appropriately explains the high-level operation, the external app dependency, and what the caller receives. Minor gaps such as execution time or overwrite semantics are not critical for correct invocation because the schema covers the parameter details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all nine parameters in adequate detail. The description adds no parameter-specific meaning beyond implicitly referencing the prompt and the resulting file path, which meets the baseline but does not go beyond it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb-resource pair: 'Generate an image from a text prompt using the Draw Things app.' It also declares the key output behavior—saved to disk with the file path returned—which clearly distinguishes it from siblings like check_status, get_config, and transform_image.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is implied clearly: use this when you need a new image created from a text prompt. However, the description gives no explicit guidance about when to prefer this tool over transform_image or any other sibling, and it mentions no exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.